Mindket

Agentic Awesome Skills

Newversion 1 · updated
Star49.7k

Overview

A library of 2,926 or more installable skill playbooks for AI coding agents, plus a companion tool that lets the agent search the catalog, pick skills and preview a plan before anything changes.

Agentic Awesome Skills is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.

At a glance

Runs in
  • Claude Code, Codex, Cursor and Gemini CLI
  • Autohand Code, Kiro, Copilot, OpenCode and Antigravity, which appear in the project's badges
  • A hosted catalog on the project's website, for browsing
  • A browser-local Workbench, for reviewing a selection
Start with
git clone https://github.com/sickn33/agentic-awesome-skills.git
cd agentic-awesome-skills

Platform

Claude CodeCoding agent
CodexCoding agent
CursorCode editor
Gemini CLICoding agent
CopilotAI chat
OpenCodeCoding agent

And 1 more in Where to use it

About

What it is

This project gathers 2,926 or more installable playbooks, each a SKILL.md file, for AI coding agents such as Claude Code, Codex, Cursor and Gemini CLI. Its companion, AAS Core, lets Codex or Claude search the whole local catalog and record the skills the agent picks. It then shows a plan to look over before any target changes. Core never ranks or recommends skills, so the agent makes the choice.

Who it suits

It suits developers who use AI coding agents and want to reuse proven instructions across projects, and teams who want an exact skill set they can review.

IndustryWho uses itHow they use itExample
Software developmentDevelopers using coding agentsSearch the catalog for reusable instructions for a projectFinding a playbook that fits a new codebase
Engineering teamsTeam leadsKeep an exact skill set that the whole team can review and reuseOne reviewed set shared across several projects
Platform engineeringPlatform engineersValidate a stack of skills and preview the plan before applying itChecking an installation plan before a target changes

You can skip it if you only use a handful of skills you wrote yourself.

Where to use it

The library targets AI coding agents, and the project lists many of them by name.

  • Claude Code, Codex, Cursor and Gemini CLI
  • Autohand Code, Kiro, Copilot, OpenCode and Antigravity, which appear in the project's badges
  • A hosted catalog on the project's website, for browsing
  • A browser-local Workbench, for reviewing a selection
Use caseWhoWhat they get back
Catalog searchA developer starting a projectResults drawn from the complete local catalog
Stack validationA team leadA check of the chosen stack of skills
Plan previewAny userA plan to look over before a target is changed

How to set it up

You need one of the supported agents, with Codex and Claude Code each having a setup guide.

An AI coding agent such as Codex or Claude Code

  1. Open the setup guide for your agent, Codex or Claude Code.
  2. Let the agent search the local catalog and choose its first skills.
  3. Read the installation preview before anything is applied.

Run these in a terminal:

# Copy the project to your computer
git clone https://github.com/sickn33/agentic-awesome-skills.git
# Go into its folder
cd agentic-awesome-skills

How to use it

Day to day, you let the agent do the searching and choosing, and you review what it proposes.

ToolWhat it does
Local catalog inspectionLets the agent search the complete local catalog
Agent-owned selectionThe agent records which skills it chooses
Stack validationValidates the stack the agent selected
Plan previewShows what would change, so you can inspect it first
Apply and recoveryStill experimental in the current release

Example

You ask Codex to find skills for the project you are working on. It searches the full catalog on your machine, records the skills it picks and shows a plan. You inspect that plan before any target is changed.

For newcomers and experts

If you are new, a skill is a text file of instructions your agent can follow. With thousands to choose from, finding the right ones is the hard part, and that is what AAS Core helps with. Try this first: open the setup guide for your agent and run one selection and preview.

If you know the field, Core handles finding skills and keeping records, not judgment. It never ranks or recommends, so the agent owns the selection. Release V20.6.0 can inspect the catalog, validate a stack and preview plans, while apply and recovery stay experimental. The trade-off is an exact, reviewable skill set that depends on you reading the preview and trusting the agent's picks.

  1. The agent searches the full local catalog
  2. It records the skills it chooses
  3. The chosen stack is validated
  4. You inspect the plan before any change

Good to know

Read these points before you rely on it.

  • License: MIT
  • The current release is V20.6.0
  • Apply and recovery are still experimental
  • The README follows the main branch, so features marked Unreleased need a later release
  • It is a community project with no tie to Google, and Google names only describe compatibility
  • The GitHub repository is the canonical source, and the hosted catalog is a companion

README and files

README
# Agentic Awesome Skills

A library of 2,926 or more installable skill playbooks for AI coding agents, plus a companion tool that lets the agent search the catalog, pick skills and preview a plan before anything changes.

Made by sickn33 on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository.

## About

What it is: This project gathers 2,926 or more installable playbooks, each a SKILL.md file, for AI coding agents such as Claude Code, Codex, Cursor and Gemini CLI. Its companion, AAS Core, lets Codex or Claude search the whole local catalog and record the skills the agent picks. It then shows a plan to look over before any target changes. Core never ranks or recommends skills, so the agent makes the choice.

Who it suits: It suits developers who use AI coding agents and want to reuse proven instructions across projects, and teams who want an exact skill set they can review.

```table
Industry | Who uses it | How they use it | Example
Software development | Developers using coding agents | Search the catalog for reusable instructions for a project | Finding a playbook that fits a new codebase
Engineering teams | Team leads | Keep an exact skill set that the whole team can review and reuse | One reviewed set shared across several projects
Platform engineering | Platform engineers | Validate a stack of skills and preview the plan before applying it | Checking an installation plan before a target changes
```

You can skip it if you only use a handful of skills you wrote yourself.

Where to use it: The library targets AI coding agents, and the project lists many of them by name.

- Claude Code, Codex, Cursor and Gemini CLI
- Autohand Code, Kiro, Copilot, OpenCode and Antigravity, which appear in the project's badges
- A hosted catalog on the project's website, for browsing
- A browser-local Workbench, for reviewing a selection

```table
Use case | Who | What they get back
Catalog search | A developer starting a project | Results drawn from the complete local catalog
Stack validation | A team lead | A check of the chosen stack of skills
Plan preview | Any user | A plan to look over before a target is changed
```

How to set it up: You need one of the supported agents, with Codex and Claude Code each having a setup guide.

An AI coding agent such as Codex or Claude Code

1. Open the setup guide for your agent, Codex or Claude Code.
2. Let the agent search the local catalog and choose its first skills.
3. Read the installation preview before anything is applied.

How to use it: Day to day, you let the agent do the searching and choosing, and you review what it proposes.

```table
Tool | What it does
Local catalog inspection | Lets the agent search the complete local catalog
Agent-owned selection | The agent records which skills it chooses
Stack validation | Validates the stack the agent selected
Plan preview | Shows what would change, so you can inspect it first
Apply and recovery | Still experimental in the current release
```

Example: You ask Codex to find skills for the project you are working on. It searches the full catalog on your machine, records the skills it picks and shows a plan. You inspect that plan before any target is changed.

For newcomers and experts: If you are new, a skill is a text file of instructions your agent can follow. With thousands to choose from, finding the right ones is the hard part, and that is what AAS Core helps with. Try this first: open the setup guide for your agent and run one selection and preview.

If you know the field, Core handles finding skills and keeping records, not judgment. It never ranks or recommends, so the agent owns the selection. Release V20.6.0 can inspect the catalog, validate a stack and preview plans, while apply and recovery stay experimental. The trade-off is an exact, reviewable skill set that depends on you reading the preview and trusting the agent's picks.

```flow
The agent searches the full local catalog
It records the skills it chooses
The chosen stack is validated
You inspect the plan before any change
```

Good to know: Read these points before you rely on it.

- License: MIT
- The current release is V20.6.0
- Apply and recovery are still experimental
- The README follows the main branch, so features marked Unreleased need a later release
- It is a community project with no tie to Google, and Google names only describe compatibility
- The GitHub repository is the canonical source, and the hosted catalog is a companion

## On GitHub, 15 November 2026

- Stars: 49,713
- Forks: 7,192
- Watching: 304
- Open issues and pull requests: 11
- Language: Python
- License: MIT
- Topics: agent-skills, agentic-skills, ai-agent-skills, ai-agents, ai-coding, ai-workflows, antigravity, antigravity-skills, claude-code, claude-code-skills, codex-cli, codex-skills

## Links

- Code: https://github.com/sickn33/agentic-awesome-skills
- Website: https://aaskills.tech/
- Releases: https://github.com/sickn33/agentic-awesome-skills/releases
- Issues: https://github.com/sickn33/agentic-awesome-skills/issues
- Star history: https://www.star-history.com/#sickn33/agentic-awesome-skills&Date

## Get the code

```
git clone https://github.com/sickn33/agentic-awesome-skills.git
```

Then follow the setup in its README. Nothing in this kit runs by itself.
Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-15

Compare with similar

Listed GitHub projects in the same category that share the most topics with this one.

ProductStarsActivityLanguageLicenseLast change
Agentic Awesome Skills This page49,713ActivePythonMIT
awesome-agent-skillsShares codex-skills · claude-code-skills · agent-skills37,188Active—MIT
pstackShares antigravity-skills · claude-code-skills · agent-skills4,132—JavaScriptMIT—
Claude Code Skills & PluginsShares codex-skills · claude-code-skills · agent-skills29,769ActivePythonMIT
Context ModeShares codex-cli · antigravity · claude-code33,650—TypeScript——
agents by wshobsonShares antigravity · agent-skills · ai-agents42,515ActivePythonMIT
Numbers as Mindket last read them, from 2026-11-08 to 2026-11-15. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that.

Reviews

No ratings yet

Write a review

No reviews yet.

What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

Searched

More from Mindket

See all from Mindket

Gives AI agents 818 cybersecurity skills across 34 security domains, each mapped to frameworks such as MITRE ATT&CK and NIST CSF 2.0. For analysts, defenders a…

New36.2k

awesome-agent-skills

voltagent · Skill

Curated list of agent skills from official engineering teams and community authors, covering products such as Stripe, Supabase and Vercel, for Claude Code, Cod…

New37.2k

agents by wshobson

wshobson · Skill

Offers a catalog of plugins that bundle agents, skills and commands for AI coding tools including Claude Code, Codex CLI, Cursor and GitHub Copilot, kept as on…

New42.5k

Similar projects

See all in Developer

Claude Code Skills & Plugins

alirezarezvani · Skill

Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…

New29.8k

pstack

michael-denyer · Skill

Michael Denyer’s port of Lauren Tan’s pstack skill stack to Claude Code, Codex, Pi, GitHub Copilot, Muse and other agents. Tell its poteto-mode skill your goal…

New4132

Ponytail

dietrichgebert · Skill

Guides AI coding agents to write minimal code by prioritizing existing repository components and standard libraries. It adds auditing, code review, and trackin…

New187k